Forecasting

Eliminate time-consuming manual processes and ensure consistency and accuracy by employing several forecasting methods. These processes provide managers with a flexible, accurate, and high performance forecasting mechanism.

Sales Forecasts can be generated for an item, Division of items, class of items, for a customer or a specific location. User ability, to dynamically select the level of aggregation when forecasting, combined with multiple forecasting methods; seasonality and growth (Holt Winters), growth only (Holts), simple exponential smoothing, least squares, or historical usage enables managers to pro-actively manage their level of Inventory. Forecasting periods, months or weeks, can be dynamically selected. Smoothing constants, to the item level, and added forecasting measurements; Mean Average Percentage Error, Mean Squared Error, Mean Average Deviation, Variance and R-Squared, aid in the analysis process.

All sales information can be easily downloaded to Excel, including formulas that enable users to utilize the Solver functionality within Excel, aiding in the computation of an optimized forecast smoothing constant.

Sales Forecasting is necessary to increase revenues and decrease cost. Utilizing a fully integrated forecasting module provides a financial and competitive edge for management.

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